• Journal of Auto-vehicle Safety Association
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• v.12 no.2
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• pp.40-46
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• 2020

Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.153-171
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• 2019

Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the precedent research's urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.15-27
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• 2021

The purpose of this study was to develop an indicator of core competency of freshmen of an Institute of Science & Technology (IST). Through the document analysis and the expert survey, core competency indicators that include 5 core competencies and 15 sub-competencies (a total of 48 items) were developed. Then content validity was examined by experts in measurement and statistics and secondary education. Also, by using students' responses, reliability was tested with Cronbach's alpha and construct validity were tested through confirmatory factor analysis. Results suggest that the core competency indicator is reliable and valid in measuring core competencies of freshmen students in an Institute of Science & Technology. Discussions were provided in terms of improving student admission processes.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.31.3-32
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• 2020

The surface brightness fluctuation (SBF) is one of the most crucial distance indicators for unresolved stellar systems at large distances. Here, we present an evolutionary population synthesis model of the surface brightness fluctuation (SBF) for normal and He-enriched simple stellar populations (SSPs). Our SBF model for the normal-He population agrees well with other existing models, but the He-rich populations bring about a substantial change in the SBF of SSPs. Our normal-He SBF model well reproduces the observed SBFs of the Milky Way globular clusters, but the SBFs of early-type galaxies in the Virgo Cluster are placed between the normal-He and He-rich SBF models. We show that the SBF-based distance estimation would be affected by up to a 10-20% level in I- and near-IR bands at given colors. Finally, we propose that when combined with independent metallicity and age indicators such as Mg2 and H��, the UV and optical SBFs can readily detect underlying He-rich populations in unresolved stellar systems. Given the degree of the SBF variation resulting from the population difference, we suggest that the distance measurement before the proper in-depth analysis of stellar populations should be done with great caution.

• Clinical Endoscopy
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• v.55 no.3
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• pp.332-338
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• 2022

Continuous measurement of quality indicators (QIs) should be a routine part of colonoscopy, as a wide variation still exists in the performance and quality levels of colonoscopy in Korea. Among the many QIs of colonoscopy, the adenoma detection rate, average withdrawal time, bowel preparation adequacy, and cecal intubation rate should be monitored in daily clinical practice to improve the quality of the procedure. The adenoma detection rate is the best indicator of the quality of colonoscopy; however, it has many limitations for universal use in daily practice. With the development of natural language processing, the adenoma detection rate is expected to become more effective and useful. It is important that colonoscopists do not strictly and mechanically maintain an average withdrawal time of 6 minutes but instead perform careful colonoscopy to maximally expose the colonic mucosa with a withdrawal time of at least 6 minutes. To achieve adequate bowel preparation, documentation of bowel preparation with the Boston Bowel Preparation Scale (BBPS) should be a routine part of colonoscopy. When colonoscopists routinely followed the bowel preparation protocols, ≥85% of outpatient screening colonoscopies had a BBPS score of ≥6. In addition, the cecal intubation rate should be ≥95% of all screening colonoscopies. The first step in improving colonoscopy quality in Korea is to apply these key performance measurements in clinical practice.

• Korea Journal of Hospital Management
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• v.10 no.1
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• pp.71-92
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• 2005

The purpose of this study is to analyze the efficiency in management of general hospitals and investigate the major factors on efficiency. Specifically, the management of each general hospital is evaluated by using Data Envelopment Analysis(DEA) technique which is a nonparametric statistical method for measurement of efficiency. Then, the influencing factors are investigated through analyses of Decision-Tree Model and Tobit Regression. The target hospitals were general hospitals in which bed sizes are between 200 and 500 among a total of 276 general hospitals. The main data of financial indicators were collected from 48 hospitals, and it was analyzed by using two statistical models. For Model I, three input and two output variables were used for efficiency evaluation. In particular, three input variables were the number of medical doctors, the number of paramedical personnel, and the bed size. And, two output variables were the numbers of inpatients and outpatients per year, adjusted by bed-size. The results of DEA analysis showed that only seven out of 48 hospitals(15%) turned out to be efficient. The decision-tree analysis also showed that there were six significant influencing factors for Model I. Six factors for Model I were Bed Occupancy Rate, Cost per Adjusted Inpatient, New Visit Ratio of Outpatients, Retired Ratio, Net Profit to Gross Revenues, Net Profit to Total Assets. In addition, the management efficiency of hospital is proved to increase as profit and patient-induced indicators increase and cost-related indicators decrease, by the Tobit regression model of independent variables derived from the decision-tree analysis. This study may be contributable to the development of analytic methodology regarding the efficiency of hospital management in that it suggests the synthetic measures by utilizing DEA model instead of suggesting simple ratio-analyzing results.

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.35-44
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• 2011

Business performance measurement is used as an important tool to evaluate management performance, control human resources, and implement strategies. It can be measured simply in terms of finance including net profit, return on investment, and return on equity, but this is not sufficient because the performance outside of finance such as internal business process and informatization cannot be examined. Therefore this study defined a KPI(Key Performance Indicators) applicable to local construction companies ranked in the top 30 in construction capability, and also introduced differentiated results from the earlier studies by reflecting more realistic corporate management based on the existing studies and interviews with business experts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1863-1871
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• 2012

Utilization of the former OSS was mainly focused on the usage of system applications such as operating system and DBMS. However, nowadays many companies are trying to make use of OSS based on the application rather than the system software. However, selection of base OSS is the most important to develop of application for utilizing OSS. The scope of existing OSS evaluation studies is covered the entire OSS quality. Thus existing studies of evaluation of OSS selection is insufficient. Also, the result of assessment is based on qualitative measurement rather than quantitative ones. In this paper, we derives only the indicators for selection among the existing OSS assessment indicators and suggests the assessment indicator that is capable of quantitative assessment in accordance with the characteristics of the project. The proposed assessment indicator is divided into an initial assessment indicator that can be assessed with only the information within the OSS community, and the detailed assessment indicator through metrics to make quantitative measurements possible. In this way, an objective basis can be provided through quantitative scores & indicators when selecting OSS.

• Korean Journal of Health Education and Promotion
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• v.22 no.1
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• pp.147-160
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• 2005

The purpose of this study is to identify the nature of the patient service quality of health center, and based on that, to examine the relationship of health center visitor's perceived quality and overall satisfaction. Data were collected on the basis of 'the 3rd Regional Health Care Planning' operated by Rural Health Care Service Technology Aid Task-force Team(RHCSTAT), Ministry of Health and Welfare. Basically, the Manual of 3rd Regional Health Care Planning is composed of structure, process, and outcome measurement indicators. Of these indicators, 21 patient satisfaction questions as outcome indicators are used in this study. The samples are 3,530 patients who visited 80 health centers all of the nation. First, the reliability and validity of patient service quality items was evaluated. Second, the descriptive statistics of health service quality are calculated. Third, through the T-test and ANOVA, the differences of patient satisfaction by responder's general characteristics are compared. In final, to explore the relationship of service quality and overall satisfaction, multiple regression analysis was used. This study shows firstly, the dimension of patient service quality was categorized into 3 dimensions, that is, facilities and environment, staff kindness, and access convenience. Secondly, the reliability and validity of patient service quality items was satisfied. Thirdly, the mean score of staff kindness factors are high in contrast to the facilities and environment. And in regard to the overall satisfaction, the mean score is more higher in Daegu region, County type health center, male group, and upper 65 age group than comparison groups. Lastly, as a result of multiple regression analysis, the effect of patient's perceived service quality, especially, appropriateness of billing time(Beta=0.190) and of reservation time(Beta=0.132) are statistically significant(P<0.01). In conclusion, to satisfy the health need of community people and improve the service quality of the health center, the efforts for the access convenience might be needed. Additionally, the enlargement on health center space and supply of new medical equipment is urgent for the patient satisfaction.

• 보존과학연구
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• s.33
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• pp.85-97
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• 2012

In this study, reliability assessment was carried out on UV(ultraviolet) indicators for the application of the indicator method on cultural heritages. As a result, some UV indicators(L, K, and M) proved to be unsuitable due to their low reactivity to UV and high reactivity to RH(relative humidity). On the other hand, indicator S showed considerable color changes and fading due to UV-B and UV-C according to the integral amount of UV irradiation. Indicator S showed the most distinct reaction to UV and a remarkable applicability to exhibition light, which are used in museums. Therefore, UV indicator S is an easy and useful monitoring tool for light environment management in cultural- property conservation facilities.